Celia M. T. Greenwood
McGill University
301 Papers
2.3K Citations
Celia M. T. Greenwood is an academic researcher from McGill University. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 51, co-authored 275 publications. Previous affiliations of Celia M. T. Greenwood include Cancer Care Ontario & Ontario Institute for Cancer Research.
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Papers
Corrections to the parameterization of constraints on allele sharing in sibling pairs alter covariate-parameter estimates but not sharing-probability estimates or power of tests for linkage.
TL;DR: It is concluded that the small differences in mean LOD scores or in significance levels are a result of the fact that the authors no longer had to exclude as many data sets from their summaries and rerun the simulations to confirm these theoretical conclusions.
2
Significance Thresholds for Rare Variant Signals
Celia M. T. Greenwood,Celia M. T. Greenwood,ChangJiang Xu,ChangJiang Xu,Antonio Ciampi +4 more
- 01 Jan 2015
TL;DR: In this chapter, extrapolation from small sections of the genome to the whole genome can provide computationally feasible estimators for genome-wide significance thresholds and other factors that may need consideration, such as exome sequencing, the use of false discovery rates for controlling type 1 errors, and region definitions that are not based on physical proximity.
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RE: Familial aggregation of clinical and neurocognitive features in sibling pairs with and without schizophrenia
TL;DR: Chen et al. as mentioned in this paper found that IQ is a composite construct comprised of several components that overlap with a number of cognitive domains, covarying for such a measure of overall intellect when examining the heritability of a neurocognitive test can reveal interesting relationships.
2
Evidence of linkage to chromosome 1 for early age of onset of rheumatoid arthritis and HLA marker DRB1 genotype in NARAC data.
TL;DR: Focusing on chromosome 1, a recursive partitioning linkage algorithm was applied to perform linkage analysis on the rheumatoid arthritis NARAC data, incorporating covariates such as HLA-DRB1 genotype, age at onset, severity, anti-cyclic citrullinated peptide (anti-CCP), and life time smoking.
Exome-wide rare variant analyses of two bone mineral density phenotypes: the challenges of analyzing rare genetic variation.
Jianping Sun,Jianping Sun,Karim Oualkacha,Vincenzo Forgetta,Hou-Feng Zheng,Hou-Feng Zheng,J. Brent Richards,J. Brent Richards,Daniel S. Evans,Eric S. Orwoll,Celia M. T. Greenwood +10 more
TL;DR: Performance of a recently developed test for association between multivariate phenotypes and sets of genetic variants (MURAT) is demonstrated using measures of bone mineral density (BMD), with evidence of increased power with the multivariate test, although no new loci for BMD were identified.